Package | Description |
---|---|
org.anchoranalysis.feature.bean.list |
A feature-list (custom list type for features) and associated providers.
|
org.anchoranalysis.image.bean.provider |
Base classes for providers of different core data entities related to images.
|
org.anchoranalysis.image.bean.provider.stack |
A provider of
Stack s. |
org.anchoranalysis.image.bean.segment.binary |
Base classes to perform binary-segmentation.
|
org.anchoranalysis.mpp.bean.bound |
Lower and upper limits set around variables.
|
org.anchoranalysis.mpp.bean.points.fitter |
Fitting structures to sets of points.
|
org.anchoranalysis.mpp.bean.proposer |
Proposing
Mark s or other data-structures with particular
attributes. |
org.anchoranalysis.mpp.bean.provider | |
org.anchoranalysis.mpp.pair |
Pairs of
Mark s. |
Modifier and Type | Class and Description |
---|---|
class |
FeatureListProvider<T extends FeatureInput>
Provides a list of
Feature s with identical input-type. |
Modifier and Type | Class and Description |
---|---|
class |
ChannelProvider
|
class |
HistogramProvider
|
class |
MaskProvider
|
class |
ObjectCollectionProvider
Base class for beans that implement
Provider to provide an ObjectCollection . |
Modifier and Type | Class and Description |
---|---|
class |
StackProvider
|
Modifier and Type | Class and Description |
---|---|
class |
BinarySegmentation
Performs a segmentation on voxels so that each voxel has an on or off state after
the operation.
|
Modifier and Type | Class and Description |
---|---|
class |
MarkBounds |
Modifier and Type | Class and Description |
---|---|
class |
PointsFitter |
Modifier and Type | Class and Description |
---|---|
class |
MarkCollectionProposer
Proposes an entire collection (confguration) of marks
|
class |
MarkMergeProposer |
class |
MarkProposer |
class |
MarkSplitProposer |
Modifier and Type | Class and Description |
---|---|
class |
MarkCollectionProvider
Provides a collection of marks
|
Modifier and Type | Class and Description |
---|---|
class |
RandomCollection<T>
A collection of items from which one can randomly sample
|
Copyright © 2010–2023 Owen Feehan, ETH Zurich, University of Zurich, Hoffmann-La Roche. All rights reserved.